Kafka Jobs in Calgary.
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Software Engineer, Stats & Analytics
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StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
About the Stats & Analytics Team:
The Stats and Analytics team at StackAdapt solves complex distributed system challenges, focusing on scalability, performance, reliability, and data consistency. We leverage a modern tech stack that includes Golang for high-performance services, TiDB for scalable SQL databases, Redshift and Snowflake for data warehousing, Kafka for real-time streaming, Elasticsearch for analytics, and HDFS for distributed storage. The Stats & Analytics team is structured into three sub teams: Data Ingestion, Data Platform and Data Delivery.
StackAdapt is a Remote First company, we are open to candidates located anywhere in Canada or the United States for this position.
About the Data Delivery Team:
This team is responsible for transforming foundational data into customer-facing insights and products. Data Delivery builds the pipelines, services, and APIs that power reporting, billing, pacing, and analytics experiences across the platform. Working closely with Product and Web teams, they ensure data is accurate, accessible, and actionable for both internal stakeholders and advertisers.
What You'll Be Doing:
- Building highly scalable, distributed real-time micro-services primarily written in Go
- Working with large data sets and various databases including Aerospike, Elasticsearch, Redis, ScyllaDB, Redshift, TiDB, MariaDB
- Working with data lakehouse technologies like Apache Iceberg, Apache Trino, and real-time analytics technologies like StarRocks and Clickhouse
- Build software that utilize messaging queues such as Kafka, SQS, and Kinesis
- Write performance efficient and memory optimized code
What You'll Bring to the Table
- 2+ years of experience as a Backend Software Engineer.
- Very strong problem solving skills in data structures, algorithms, and optimization
- Experience working with relational databases and/or key-value stores
- Experience building scalable micro-services and distributed systems
StackAdapter's Enjoy:
- Highly competitive salary
- Retirement/ 401K/ Pension Savings globally
- Competitive Paid time off packages including birthday's off!
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!
Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
Ready to apply?
Apply to StackAdapt
MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.
We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.
This role will be based out of North America in the PST and MST zones only.
The ideal candidate for this role will have
- 2+ years of engineering experience in backend systems, distributed systems, or core platform development
- Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
- Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
- Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
- Exposure to client-side technologies such as JavaScript and React is a plus
- Good understanding of algorithms, data structures and their time and space complexity
- Curiosity, a positive attitude, and a drive to continue learning
- Excellent verbal and written communication skills
Nice to Have
- Familiarity with cloud-native distributed systems (e.g., Kubernetes)
- Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
- Contributions to relevant open-source projects
Position Expectations
- Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
- Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
- Work to develop robust and efficient backend services that orchestrate AI functionalities
- Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
- Participate actively in code reviews to enforce best practices and patterns
- Help troubleshoot and resolve complex technical issues in our distributed systems
- Give and solicit feedback on technical design documents and pull requests
- Perform tasks related to process such as CI/CD, quality, testing, etc
Success Measures
Within the first three months, you will have:
- Familiarize yourself with the MongoDB database and aggregation language
- Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
- Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
- Started collaborating with your peers and contributed to code reviews
Within six months, you will have:
- Familiarised yourself with the rest of our the application modernization tool stack
- Delivered at least one large scale feature that spans the entire tech stack
- Reviewed and contributed to scope and technical design documents
Within 12 months, you will have:
- Become a key contributor to our backend stack, capable of taking on complex features independently
- Helped recruit and interview new members of the team
- Collaborated effectively with other teams at MongoDB on cross-functional projects
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
REQ ID: 425547
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.
Ready to apply?
Apply to MongoDB
Senior Staff Engineer, MongoDB Developer Productivity
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The Developer Productivity team supports the software development ecosystem used by thousands of engineers to develop and maintain MongoDB Server and developer tools in a complex matrix of multi-platform self-hosted products and multi-cloud hosted environments. Our tools and services, as well as our domain expertise, ensure that MongoDB developers can ship high quality products quickly, confidently, and securely.
As a senior staff engineer you’ll be responsible for helping shape the future of our developer ecosystem and ensure we take advantage of the rapidly-evolving engineering landscape. You will partner with engineering leadership across the company to identify system-wide opportunities to accelerate developer velocity and efficiency, enhancing smart data collection and integrating analytics assistants that produce actionable insights every step of the way.
Our team champions a strong culture of inclusivity, diversity, and collaboration. If you like working on a strongly collaborative team that loves to experiment, have a passion for open source, and generally thrive on being a champion for software development best practices and data-informed decision making, this is the role for you.
Candidate Profile
- Minimum 10 years of experience in the developer productivity domain in large engineering environments, including building, and operationalizing complex, reliable systems
- Strong experience supporting one or more of C++, Java, Go, Python, Rust, Node, Typescript
- Strong understanding of DevOps culture and tooling
- Extensive experience with CI/CD pipelines, common deployment models and infrastructure, and various techniques used to safely roll changes into production environments
- Hands-on experience implementing metrics and observability tools and best practices, as well as data processing pipeline technologies such as Iceberg, Trino, Kafka
- Proven track record of driving technical execution and vision for organizations with 50+ team members
- Skilled in advocating for and representing the needs of a 1000+ customer base to internal platform teams
Responsibilities
- Drive strong operational excellence standards for internal software development tools and services, helping define golden paths that optimize the efficiency and velocity of our engineering organization
- Design software development systems to ensure best practices and champion industry standards
- Advise Engineering partners on technical implications of systems design with regards to complexity, testability, and maintainability
- Lead development and project management of some of the largest projects within MongoDB to improve developer productivity and software quality, particularly around data-driven insights and optimizations
- Provide technical mentorship and leadership to the Developer Productivity organization, promoting best practices and fostering team growth
Bonus points if the candidate has experience with:
- Strong systems fundamentals, including testing and monitoring multi-threaded systems
- Performance profiling of complex systems
- Leveraging best of breed AI tools & technologies in the developer productivity domain along with the necessary telemetry and analytics to measure effectiveness in a rapidly changing environment
- Experience supporting the development of database internals or core components for data processing systems
Success Measures
- In the first month, you will have understood the high level architecture of at least one of the systems within the MongoDB developer ecosystem and fixed a few bugs
- In three months, you will have a broad understanding of the overall developer ecosystem and be taking on code review responsibilities
- In six months, you will have taken on code and design review responsibilities for key systems within the software development ecosystem
- In twelve months, you will be leading the development of MongoDB’s next generation developer ecosystem, helping to mentor engineers on the team, and using your experience to drive the long-term DevProd-wide technical roadmap
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 1273376291
AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward.
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.
Ready to apply?
Apply to MongoDB
Senior Software Engineer, Core Services SRE
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StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
The Core Services Site Reliability Engineering (Core Services SRE) team sets the foundations and maintains the principles of reliable engineering across StackAdapt's core service teams.
Core service teams power StackAdapt's software backend, where all data processing occurs. The Core Services SRE team ensures robust and reliable software by building and operating self-healing systems that automatically deploy and manage the scaling of core services software, while championing and evangelizing the principles of reliable software and Site Reliability Engineering across the organization.
StackAdapt is a Remote First company, we are open to candidates located anywhere in the United States or Canada for this position.
What You'll Be Doing:
- Maintain tooling, libraries, and infrastructure leveraged by all core service teams
- Develop and maintain infrastructure services that enable engineers to manage, deploy, and scale systems
- Act as a technical leader, guiding core service teams to design robust and reliable software
- Propose, design, coordinate, and implement cross-cutting initiatives impacting all of core services, both as an individual contributor and as a technical leader
- Propose, design, document, and communicate evolving SRE best practices to keep StackAdapt's core service backend maintainable
- Conduct security reviews for new projects, technologies, and services
What You'll Bring to the Table:
- At least 5 years experience in Infrastructure, Cloud, or Backend engineering
- At least 5 years experience with AWS, or other Cloud provider
- Strong programming, system design, and scripting skills
- Deep understanding of infrastructure as a code and application/network security
- Experience setting up complex AWS environments with Terraform
- Database management experience is a plus
- Experience with our existing technologies is a strong plus: Terraform, Vault, Nomad, Packer, Vagrant, Boundary, Consul, Waypoint, Redis, Aerospike, Go, ScyllaDB, Elasticsearch, RDS, Grafana, Prometheus, Kafka, Envoy, Nginx
StackAdapter's Enjoy:
- Highly competitive salary
- Retirement/ 401K/ Pension Savings globally
- Competitive Paid time off packages including birthday's off!
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!
Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
Ready to apply?
Apply to StackAdapt
Meet Benevity
Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more!
As a senior technology leader, you will help build our technology platform to enable 10 million change-makers to deliver a billion acts of goodness by 2025. We seek a platform-first Architect to lead enterprise patterns for reliable, governed, AI-driven, and cost-effective solutions at scale across our technology portfolio. You will design how data flows across the company, from ingestion to consumption, while ensuring our AI systems are secure, auditable, and maintainable. This role requires practical systems thinking and the ability to influence senior engineers and leadership toward consistent, enterprise-wide architecture outcomes that align our data and AI strategy with broader business goals.
If you're passionate about leveraging modern technology, data and AI for positive impact and eager to contribute to a mission-driven organization, we want to hear from you.
What you will do:
- Develop and maintain end-to-end tracks with our data and AI focus technology strategy and architectural portfolio
- Mentor engineers and technical leadership by providing clear patterns, ensuring adherence to architectural patterns, and offering hands-on guidance for complex implementations
- Lead architecture decisioning through Architecture Decision Records (ADRs), standards, and design reviews
- Oversee architectural reviews, code reviews, and system performance analysis to ensure quality standards and sustainable delivery momentum
- Foster a culture of collaboration, knowledge sharing, and continuous learning through mentorship, team collaboration, and workshops
- Enable governed data consumption through clear data contracts, curated datasets, and consistent serving patterns including domain marts
- Standardize end-to-end data flow patterns including ingestion, transformation, storage, serving, and retirement with repeatable templates
- Set platform standards for orchestration and reliability including SLAs, retries, idempotency, backfills, runbooks, and operational dashboards
- Establish enterprise data quality practices including critical data elements, quality rules, validation layers, monitoring, and issue triage workflows
- Drive governance-by-design by embedding metadata, lineage, classification, and ownership into platform patterns
- Drive adoption of AI governance architecture for agentic solutions including controls for data privacy and model lifecycle
- Define AIOps standards ensuring AI systems have traceability, quality measurement, incident response readiness, and cost guardrails
- Collaborate with stakeholders and product management to identify, prioritize, and mitigate technical risks and challenges
- Stay informed about industry regulations, security standards, and compliance requirements to ensure solutions meet necessary standards
What you’ll bring:
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
- 7+ years in software development methodologies, architecture, and implementation of large scale enterprise systems
- 4+ years focused on data engineering, data management, or data platform architecture and designing AI solutions including AIOps practices
- Structured problem solving to turn ambiguous requirements into scalable, low-cost solution patterns
- Ability to think strategically while paying close attention to technical details
- Proven experience building or evolving an enterprise data platform including standards and adoption across multiple teams
- Demonstrated ability to design governance-ready AI solutions including evaluation strategies, privacy safeguards, and auditability
- Strong expertise in system architecture, cloud computing, distributed systems, and integration technologies
- High bar for operational readiness, actionable documentation, and treating governance as a built-in platform feature
- Deep experience across modern data platform capabilities including AWS Glue, Step Functions, Airflow, dbt, Spark, and Snowflake
- Proficiency in programming and analytics using Python, SQL, and Jupyter Notebooks
- Experience with agentic frameworks such as LangChain, LlamaIndex, or LangGraph and AIOps tooling like LangFuse
- Familiarity with Agile development methodologies and the ability to adapt to a fast-paced environment
- Strong understanding of security principles, performance optimization, scalability, and reliability
- Demonstrated influence towards simplicity and repeatability in architecture
Nice to Have:
- Experience operating in regulated environments, (SOC2, ISO 27001, or GDPR).
- Familiarity with federated domain ownership models, where domains ship data products while the platform provides shared standards and tooling.
- Experience designing and scaling platform observability for data pipelines, streaming systems, and AI services.
- Familiarity with medallion architecture patterns
- Experience in modern data platform capabilities, including:
- Streaming: Apache Kafka, AWS MSK, AWS Kinesis, GCP Pub/Sub
- Metadata and governance: DataHub, Atlan or similar
Discover your purpose at work
We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more …
Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose.
If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become …
It’s time to join Benevity. We’re so excited to meet you.
Where We Work
At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most.
Join a company where DEIB isn’t a buzzword
Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily — from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams.
We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine.
That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity.
Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.
Ready to apply?
Apply to Benevity
Staff Software Engineer, User Profile
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StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
About the Team:
Our systems are built in Golang and handle millions of requests per second with an SLA of 100ms. We leverage AWS, Kubernetes, Kafka, ScyllaDB, and other modern tools and databases. It’s important to note that we are a software services team, not a data engineering team.
Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU
StackAdapt is a Remote First company, we are open to candidates located anywhere in Canada or the United States for this position.
What you'll be doing:
- Architect scalable, low-latency backend systems and data pipelines while writing code as necessary to support the team
- Provide technical leadership in the design of scalable solutions and the establishment of best practices
- Contribute positively to the team's productivity and growth
- Advocate for software development best practices and conduct thorough code reviews
- Proactively identify and address technical challenges
What you'll bring to the table:
- Proven track record of building scalable, distributed, data-intensive systems
- Experience working with large data in low-latency environments
- At least 7 years of experience in software development for distributed systems, architecting scalable microservices, and data pipelines in a successful high-growth technology company
- A strong understanding of computer science fundamentals, data structures, and algorithms
- Up-to-date knowledge and experience in the latest technologies, tools, and frameworks
- Adtech or Martech experience is a plus
- Experience with Go and high-performance databases is a plus
StackAdapter's Enjoy:
- Highly competitive salary
- Retirement/ 401K/ Pension Savings globally
- Competitive Paid time off packages including birthday's off!
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!
Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
Ready to apply?
Apply to StackAdapt
Software Engineer, Integrations Services
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StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
We're seeking a Software Engineer to help our growing backend engineering team. We’re working on an exciting new data engineering initiative to solve a hard and complex big data problem, leveraging new technologies, at the core of what StackAdapt is built upon. We are seeking experienced software engineering candidates to help us design and build this from the ground up! Our real-time advertising bidding system handles over 3,000,000 requests per second and stores several terabytes of data every day. Our technologies include Go, Ruby on Rails, Aerospike, Redis, Elasticsearch, Kafka, RocksDB, Redshift, ScyllaDB, GraphQL and others. We're not afraid to test and try new technologies.
Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU
StackAdapt is a Remote First company, we are open to candidates located anywhere in Canada for this position.
What You'll Be Doing:
- Work with a team of engineers to build first-party and third-party data integration with external data sources
- Build and architect scalable low-latency backend systems and big data pipelines
- Provide technical guidance in designing scalable solutions and best practices
- Make a positive impact on the team's productivity and growth
- Promote software development best-practices and conduct rigorous code reviews
- Rigorously identify and solve technical challenges
- Write performance efficient and memory optimized code that can scale with the volume of data that we ingest
What You'll Bring to the Table:
- Proven track record of building scalable data pipelines and services
- Experience with working with large data in low-latency environments
- Software development experience in distributed systems, architecting scalable microservices and data pipelines in a successful high-growth technology company
- A strong understanding of computer science fundamentals, data structures, and algorithms
- Up to date knowledge and experience in the latest technologies, tools, and frameworks
- Experience with data engineering tools and frameworks (Spark, Flink, Apache Beam, BigQuery, Redshift, dbt, etc)
- Experience with Go and high performance databases is a plus
- Adtech or Martech experience is an asset
StackAdapter's Enjoy:
- Highly competitive salary
- Retirement/ 401K/ Pension Savings globally
- Competitive Paid time off packages including birthday's off!
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!
Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
Ready to apply?
Apply to StackAdapt
Senior Software Engineer, Stats & Analytics - Data Platform
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StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
StackAdapt is a Remote First company, and we are open to candidates located anywhere in the United States or Canada.
What You'll Be Doing:
- Design and build scalable data pipelines, batch jobs, and streaming processes that power analytics and machine learning.
- Implement and optimize data storage systems (warehouses, lakes, analytical databases) with a focus on reliability, lineage, and governance.
- Develop tools and frameworks to support data orchestration, ETL workflows, and big data processing.
- Collaborate with engineers, data scientists, and product managers to align platform capabilities with business needs.
- Ensure data systems meet requirements for quality, scalability, and cost efficiency in cloud environments.
- Contribute to technical discussions, code reviews, and system design sessions.
- Take ownership of features and projects, driving them from concept to production.
What You'll Bring to the Table
- Strong background in software engineering, data engineering and distributed systems, ideally at scale (terabytes+).
- Hands-on experience with modern data warehouses, lakes, and compute/storage technologies (e.g., Snowflake, Pinot, TiDB, Spark, Airflow, Kafka, Trino/Presto).
- Experience designing and building robust ETL pipelines and real-time streaming processes.
- Solid understanding of data governance, lineage, and cost optimization in cloud environments.
- Ability to write clean, maintainable, and performant code in production systems.
- Strong problem-solving skills and ability to collaborate across teams.
StackAdapter's Enjoy:
- Highly competitive salary
- Retirement/ 401K/ Pension Savings globally
- Competitive Paid time off packages including birthday's off!
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!
Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
Ready to apply?
Apply to StackAdapt
Engineering Manager I/II - User Profile
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StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
About the Team:
What You'll Be Doing:
- Lead a backend engineering team focused on user and audience data
- Drive complex, cross-team initiatives across multiple domains
- Design and own scalable, low-latency backend systems and data pipelines
- Mentor engineers and support team growth, performance, and productivity
- Promote engineering best practices through strong technical leadership and code reviews
- Identify and solve complex technical challenges
- Establish and evolve development processes using modern methodologies (Scrum, Kanban)
- Own the technical roadmap and software delivery for your team
- Interview and hire high-performing engineering talent
- Balance priorities to ensure alignment with company goals
- Collaborate with non-technical stakeholders (Product, Project Management)
- Support systems operating under global compliance frameworks
What You'll Bring to the Table
- 2+ years of people management or mentorship experience
- 5+ years of backend development experience in distributed systems, microservices, and data pipelines
- Experience in a high-growth technology environment (preferred)
- Proficiency in at least one backend language (Golang preferred; Java, Kotlin, C++, or similar)
- Proven ability to deliver results while leading and scaling teams
- Experience as a hands-on leader managing 3–10 direct reports
- Working knowledge of modern development methodologies (Scrum, Kanban)
Bonus:
- Adtech experience, particularly with Demand Side Platforms (DSPs)
- Experience with compliance frameworks such as GDPR or CCPA
StackAdapter's Enjoy:
- Highly competitive salary
- Retirement/ 401K/ Pension Savings globally
- Competitive Paid time off packages including birthday's off!
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!
Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
Ready to apply?
Apply to StackAdapt
Software Engineer, Backend
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StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
What you'll be doing:
- Building highly scalable, distributed real-time micro-services primarily written in Go
- Working with large data sets and various databases including Aerospike, Elasticsearch, Redis, ScyllaDB, Redshift, TiDB, MariaDB
- Build software that utilize messaging queues such as Kafka, SQS, and Kinesis
- Write performance efficient and memory optimized code
We'll be reaching out to candidates that have:
- 2+ years of experience as a Backend Software Engineer.
- Very strong problem solving skills in data structures, algorithms, and optimization
- Experience working with relational databases and/or key-value stores
- Experience building scalable micro-services and distributed systems
Teams Hiring at StackAdapt 
Bidding Team (AdTech at Scale)
- Build and optimize the real-time microservices that automatically purchase ad inventory across web, mobile, CTV, and more.
- Work on low-level performance optimizations, high-throughput systems, campaign pacing algorithms, and ML model integrations that directly impact how millions of dollars are spent efficiently every day.
- Ideal for engineers with hands-on AdTech experience, especially with bidders, open exchanges, and bid streams, who thrive in high-scale, low-latency environments.
Marketing Execution (MarTech Meets AdTech)
- Join a backend team doing something different: building the foundation for marketing tech, i.e. Email, Direct Mail and SMS marketing as part of StackAdapt’s broader MarTech vision.
- Help bridge MarTech and AdTech to create a smarter, more connected marketing platform that allows brands to conduct their advertising and marketing strategies in one place.
- Perfect for engineers excited by greenfield development, working on high-throughput event-driven systems, and shaping how marketing technology evolves at StackAdapt.
Integrations - Solutions (Platform Expansion & Partnerships)
- Develop specialized integrations that unify the fragmented AdTech ecosystem into a single, powerful StackAdapt platform - eliminating the need for advertisers to juggle multiple tools.
- Collaborate closely with internal product teams and external data partners to deepen product capabilities, unlock new use cases, and drive platform growth.
- A great fit for engineers who enjoy complex integrations, data-heavy systems, and building scalable solutions that expand market reach.
StackAdapter's Enjoy:
- Highly competitive salary
- Retirement/ 401K/ Pension Savings globally
- Competitive Paid time off packages including birthday's off!
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!
Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
Ready to apply?
Apply to StackAdapt
Data Solutions Architect
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Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management.
At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation.
Data Solutions Architect
We are looking for a Data Solutions Architect to join our Data Solutions team!
As a Data Solutions Architect, you’ll be responsible for pre-sales, estimation, scoping, designing, implementing, and testing proposed modern analytic solutions. Working closely with our client partners, you’ll develop relationships with key technical resources while delivering tangible business outcomes.
Ideal candidates will be able to:
- Manage the Data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance
- Ability to collaborate with team members to design and implement technology that aligns with client business objectives
- Ability to build proof of concepts for a modern analytics stack supporting a variety of Cloud-based Business Systems for potential clients
- Experience working with ETL/ELT technologies such as Azure Data Factory, Fivetran, Snowflake OpenFlow, Apache NiFi and other similar ETL/ELT tools
- Experience working with analytic technologies such as Power BI, Tableau, Sigma, Omni, Looker and other similar analytic tools
- Experience working with cloud enabled data repositories such as Snowflake, Amazon Web Services, Microsoft Azure, and/or Google Cloud Platform.
- Team management experience and ability to manage, mentor and develop talent of assigned junior resources
- Ability to create actionable recommendations based on identified platform, structural and/or logic problems
- Ability to communicate and demonstrate a clear understanding of client business needs, goals, and objectives
- Ability to collaborate with other practices on Solution Proposals, Pre-Sales Activities, Estimation, Scoping and Solutions
Qualifications:
- 5+ years’ experience developing industry -leading business intelligence and analytic solutions
- 5+ years of experience writing Business requirements, Use cases and/or user stories, preferably for data warehouse or data mart initiatives
- 5+ years of SQL development including advanced analytic functions
- 3+ years of consulting experience working on project-based delivery using Software Development Life Cycle (SDLC)
- 4+ years of experience with relational databases (Postgres, SQL Server, Oracle, Snowflake, and Azure Synapse Analytics, etc.)
- 3+ years of experience creating functional test cases and supporting user acceptance testing
- 3+ years of experience in Agile/Kanban/DevOps Delivery
- Outstanding analytical, communication, and interpersonal skills
- Ability to manage projects and teams against planned work
- Responsible for managing the day-to-day client relationship on projects
- Ability to support sales cycles by leading orals sessions along with building POC solutions for clients
- Ability to travel
Preferred Skills:
- SnowPro certification
- 5+ years experience developing in Snowflake, AWS, Azure, GCP or similar cloud data platform
- 3+ years of experience with modern tech stack tools such as Jenkins, Kafka, Messaging, Kubernetes
- Solid understanding of data architecture, data modeling, statistics, data science and data infrastructure ecosystems
Spaulding Ridge’s Commitment to an Inclusive Workplace
When we engage the expertise, insights, and creativity of people from all walks of life, we become a better organization, we deliver superior services to clients, and we transform our communities and world for the better.
At Spaulding Ridge, we believe our team should reflect the rich diversity of society and we take seriously the responsibility to cultivate a workplace where every bandmate feels accepted, respected, and valued for who they are. We do this by creating a culture of trust and belonging, through practices and policies that support inclusion, and through our employee led Employee Resource Groups (ERGs): CRE (Cultural Race and Ethnicity), Women Elevate, PROUD and Mental Wellness Alliance.
The company is committed to offering Equal Employment Opportunity and to providing reasonable accommodation to applicants with physical and/or mental disabilities. If you are interested in applying for employment with Spaulding Ridge and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to our VP of Human Resources, Cara Halladay (challaday@spauldingridge.com). Requests for reasonable accommodation will be considered on a case-by-case basis.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, gender, sexual orientation, gender identity, protected veteran status or disability.
Ready to apply?
Apply to Spaulding Ridge